高技术通讯2011，Vol.21Issue(3)：273-278,6.DOI:10.3772/j.issn.1002-0470.2011.03.009
基于模糊推理的多级图像增强算法
Multi-level image enhancement based on fuzzy inference
摘要
Abstract
A multi-level image enhancement algorithm based on the fuzzy logic theory is proposed in this paper. The algorithm performs the enhancement processing for each fuzzy subset based on the protection of images' main grain features to implement its function of multilevel enhancement, thus the contrast between different grey scale areas is improved. The algorithm was compared with the classical methods by experiment and the results showned its good ability to improve image quality by raising the image contrast, especially in the medical image processing.关键词
模糊理论/图像增强/边缘检测/医学图像/ε相似邻域Key words
fuzzy logic/ image enhancement/ edge detection/ medical image/ ε-similar neighbor引用本文复制引用
程丹松,刘晓芳,金野,唐降龙,刘家锋,崔淑梅..基于模糊推理的多级图像增强算法[J].高技术通讯,2011,21(3):273-278,6.基金项目
国家自然科学基金(60973142,51077020).哈尔滨科技人才创新基金(2006RFQXS037,2009RFQXS032)和中国博士后科学基金(20100480998)资助项目. （60973142,51077020）
